Rolling out on 13 November 2026 to US ChatGPT Pro subscribers aged 18 and older with American Express, Mastercard and Visa cards, the wallet issues single-use network payment tokens.
OpenAI introduced ChatGPT Wallet on 13 November 2026 in partnership with American Express, Mastercard and Visa, beginning a limited rollout inside dots for ChatGPT Pro subscribers aged 18 and older in the United States who hold eligible US-issued cards. Built for weekly shoppers among ChatGPT’s 1.2 billion active users, the feature lets shopping agents complete checkouts on a user’s behalf without exposing actual card numbers to either the agent or the merchant.
Biometric purchase approval, network tokens and merchant rails
Users store a supported payment card once and inspect the basket items, total amount and selected card before authorising each purchase with a biometric or device security check such as Face ID or a fingerprint scan. Once approved, the card network issues a single-purpose payment token carrying a substitute card number, expiry date and security code while preserving standard cardholder rewards, issuer fraud scoring and chargeback rights for defective goods or eligible disputes. Merchants retain direct control over pricing, fulfilment, returns and customer relationships.
Alongside the consumer rollout, OpenAI published a Commerce Partner Playbook at developers.openai.com/commerce covering product feeds through Businesses in ChatGPT, signed Web Bot Auth requests so CDNs and firewalls recognise legitimate shopping agents, optional WebMCP site tools, and risk-signal integration with Stripe, Adyen, Checkout.com, Forter, Riskified, Sardine and Signifyd.
Key numbers
Initial rollout scope: US ChatGPT Pro subscribers aged 18 and older in dots with eligible American Express, Mastercard or Visa cards.
Active ChatGPT user base cited by OpenAI: 1.2 billion active users.
Payment processor and fraud partners: Stripe, Adyen, Checkout.com, Forter, Riskified, Sardine and Signifyd.
OpenAI stated that future updates will support pre-authorised spending limits by category or time window, and has not announced expansion dates beyond US Pro subscribers.
Available on 13 November 2026 across OpenAI Chat Completions, Responses and Anthropic Messages endpoints with deepseek-flash, alongside an MIT-licensed browser client on GitHub.
DeepSeek opened the server-side conversation tools powering the consumer DeepSeek App through the DeepSeek API on 13 November 2026, paired with an MIT-licensed browser frontend at github.com/deepseek-ai/chat-demo. Following DeepSeek Harness Creator Mode, developers can call these built-in tools across three protocol endpoints using the model ID deepseek-flash: OpenAI-style Chat Completions (api.deepseek.com/chat/completions), the Responses API (api.deepseek.com/responses) and an Anthropic-compatible Messages endpoint (api.deepseek.com/anthropic/v1/messages).
Server-side search, URL fetching, document OCR and speech endpoints
Enabling deepseek_web_search runs either standard cited web and image search or multi-step Deep Thinking Search when reasoning mode is active, while deepseek_read_url fetches URLs pasted into user prompts directly on DeepSeek’s servers. Client applications render the returned thinking, server_tool_use, tool-result and citation blocks and pass those blocks back unchanged on subsequent turns.
DeepSeek’s API streams interleaved thinking, server-side search and URL-fetch result blocks ahead of cited text.Image: DeepSeek
Additional request fields and standalone endpoints cover PDF, Word, PowerPoint and image parsing, optical character recognition (OCR), speech-to-text (ASR), text-to-speech (TTS), automatic conversation title generation and input-output content safety checks. DeepSeek’s chatbot guide did not publish separate per-call fee schedules for the built-in search or parsing tools.
Shipped on 13 November 2026 across Linux, macOS, Windows, Android and iOS, both C/C++ local inference libraries adopt strict semantic versioning across more than 150 model variants.
Georgi Gerganov and the ggml-org maintainers at Hugging Face released llama.cpp v1.0.0 (libllama) and ggml v1.0.0 (libggml) on 13 November 2026, marking the portable C and C++ local inference runtime’s first 1.0 milestone 3.5 years after its initial commit. Starting with v1.0.0, both repositories enforce strict semantic versioning across all public C headers in llama.cpp/include/ and ggml/include/, requiring a major-version bump whenever a change breaks API or ABI compatibility.
Semantic versioning contract, dynamic ggml backends and CI hardware matrix
Minor-version increments cover backward-compatible capabilities, quantisation formats, hardware backend optimisations, public header additions and new model architectures, while patch increments remain restricted to bug fixes with zero public interface changes. Pre-built release artefacts span Linux, macOS, Windows, Android and iOS, supporting more than 150 language and multimodal model variants alongside mainstream speculative decoding methods and dynamically loaded ggml backends discovered at runtime.
Continuous integration runs across Hugging Face Buckets, Hugging Face Jobs and self-hosted hardware runners maintained in partnership with NVIDIA, AMD, Qualcomm, Arm, IBM and Intel.
Announced across 13 and 14 November 2026 by @ClaudeDevs, the Projects coordinator answers questions and posts thread status in chat while desktop mods customise colours and animations.
Anthropic shipped two workflow and desktop customisation updates to Claude Code across 13 and 14 November 2026 via its official @ClaudeDevs developer account, following its 4 November subagent token reduction and arriving three days after Cursor’s multiplayer Projects update. Inside Claude Code Projects, where Claude coordinates coding work across parallel worker threads, the central coordinator now behaves more proactively by answering developer questions directly inside the project chat and posting live status updates on running threads without forcing developers to inspect each worker session manually.
Natural-language desktop theme mods and theme-examples plugin
In a companion update for the Claude Code desktop app, developers can create custom visual themes using mods, including changing interface colours and adding animated backgrounds. Users can either describe the workspace appearance they want in natural language for Claude to generate, or start from presets in Anthropic’s theme-examples plugin.
Anthropic announced both features solely on X without publishing companion documentation covering subscription plan limits, mod sandboxing rules or terminal CLI support.
Available on 13 November 2026 on Google AI Pro and Ultra plans across the Antigravity app and CLI, the /run-workflow command generates inspectable Python parallel and pipeline scripts.
Google rolled out Dynamic Workflows across the Google Antigravity desktop app and CLI on 13 November 2026 for Google AI Pro and Google AI Ultra subscribers, extending a week that added the Gemini 4 Hydrogen Orchestrator and parallel browser subagents. Rather than coordinating long multi-step tasks solely through conversational prompts, invoking /run-workflow instructs the agent to load a built-in workflow skill and write a concise Python orchestration script using parallel() and pipeline() primitives across named phases.
Script approval gate, persistent reviewer agents and JSON Schema checks
Unless an automated execution preset such as Turbo is enabled, Antigravity displays the generated Python script in an approval card for developer inspection before running it in a background process on Antigravity’s bundled Python runtime (or a custom Python 3.8+ interpreter specified via ANTIGRAVITY_PYTHON).
Antigravity pauses to show the generated Python workflow script for approval unless an automated preset such as Turbo is active.Image: Google
Workflows can dispatch isolated one-shot workers per file or keep persistent multi-turn agents alive so the same code reviewer later verifies its own requested fixes, validating step outputs against JSON Schemas while keeping verbose worker logs out of the main thread. Approved scripts can be saved in a project and re-run anytime, and Google has not announced standalone API access outside Antigravity.
Launched on 11 November 2026 and co-maintained by Chrome, Edge, Firefox and MDN, the open-source CLI and skill pack steers AI coders toward Baseline HTML, CSS and browser APIs.
Google’s Chrome for Developers team highlighted the 1.0 release of Modern Web Guidance on 13 November 2026 after the open-source project reached number one on GitHub Trending within 48 hours of its 11 November launch. Maintained jointly by contributors across Google Chrome, Microsoft Edge, Mozilla Firefox, MDN and the web community, the package embeds token-efficient documentation and Baseline compatibility data into Claude Code, Antigravity CLI, GitHub Copilot CLI, Vercel Agent Skills and Chrome DevTools for agents.
Interactive npx installer, legacy-scan audits and benchmark curation
Developers run npx modern-web-guidance@latest install to configure supported coding agents interactively, query targeted guides covering View Transitions, container queries, CSS subgrid, oklch colour spaces, top-layer dialog animations and scrollbar-color via search and retrieve subcommands, or audit an existing project using npx modern-web-guidance@latest legacy-scan.
Maintainers author and test rules inside github.com/GoogleChrome/modern-web-guidance-src against an evaluation dashboard at googlechrome.github.io/modern-web-guidance-src, pruning basic boilerplate that models already generate accurately while targeting modern browser primitives that LLMs routinely replace with outdated JavaScript libraries.
Inside the Gemini app on 13 November 2026, the Wallet connector pairs tap-to-pay history with Plaid-linked bank and card accounts to build cash-flow charts and audit subscriptions.
Google added Google Wallet as a connected app inside Personal Intelligence in the Gemini app on 13 November 2026, two days after OpenAI rolled out Finances in ChatGPT and eight days after Anthropic launched its US Personal Finance beta in Claude. Announced via Google’s official @Google account on X, the integration lets Gemini answer personal finance questions grounded in a user’s Wallet transaction history and everyday spending habits.
Plaid account linking, subscription price alerts and budget charts
Alongside native Wallet passes and tap-to-pay activity, users can optionally link external bank accounts and credit cards to Google Wallet via Plaid to give Gemini broader visibility across financial institutions. Inside Gemini chats, the connector generates visual charts tracking cash flow, asset allocation and category budgets, flags forgotten recurring charges and subscription price increases, and suggests holiday budgets informed by prior-year gift and travel spending.
Google announced the feature solely on X without publishing companion documentation detailing regional rollout countries, supported banks or Gemini subscription plan requirements.
Multi-agent /teamwork harnesses on Gemini 4 formalise open maths proofs in Lean 4 and rewrite C++ kernels in safe Rust across Google Research’s 13 November 2026 report.
Building on the existing /teamwork, /boost and Deep Review tools inside Google Antigravity, Google Research published new mathematics, chemistry and systems-engineering results on 13 November 2026 alongside open applications granting 10,000 academic researchers six months of free access to Google’s highest usage tier. Paired with Gemini 4 Argon, Gemini 4 Carbon and Gemini 4 Hydrogen plus objective falsifiers such as Lean 4, spectral simulators and hardware counters, /teamwork isolates context across dedicated producer, critic and auditor agents.
Lean 4 formalisations, NMR structure solving and C++-to-Rust ports
Working with CUHK, USC and CMU mathematicians, /teamwork’s Stellar Colosseum pattern proved information theory’s 2013 Courtade-Kumar conjecture in 50 million lines of Lean 4, while /teamwork-LEAP autonomously formalised Pierre Deligne’s 1974 Weil conjectures in 1.8 million lines across 28,800 subagent calls. In chemistry, 30 specialised agents coupled to a physics-informed NMR simulator reached 95% top-1 and 100% top-3 molecular structure accuracy.
A dependency-ordered /teamwork rewrite workflow, scheduled to reach external Antigravity users alongside the formal-proof pattern in upcoming updates, ported the remaining C++ of the Zircon microkernel into 800,000 lines of safe Rust booting on arm64 and rewrote Google’s libgav1 AV1 decoder into 170k lines of Rust running 20% to 30% faster than C++ and hand-tuned assembly. DuoDiscover sped up 17 JAXBench TPU kernels by 4.09 times geomean, while internal runs saved over 1 PiB of fleet RAM and cut Borg TPU preemption by 24%.
Available on 13 November 2026, Devin builds and serves authenticated full-stack web apps from snapshot-backed cloud VMs at stable preview.devinapps.com URLs with idle auto-sleep.
Cognition introduced Devin Apps on 13 November 2026, one day after upgrading Devin Teams with SWE-2 sessions, enabling engineering teams to build, host and share private web applications directly from Devin’s cloud computer without configuring third-party hosting. From the Apps sidebar or any active session (including promoting an existing session browser preview), users describe a tool or pick a template for metrics dashboards, status pages or review queues, and Devin serves a production build at a stable preview.devinapps.com URL.
Devin-authenticated sharing, snapshot sleep billing and safe rollbacks
Every visitor must sign in to Devin, as Apps are never public; creators restrict access to named people, an organisation or a whole enterprise, and organisation admins can pin core Apps for everyone.
Devin Apps stay behind Devin sign-in with access scoped to invited users, an organisation or an enterprise.Image: Cognition
Because each App runs on Devin’s own VM with access to local SQLite or PostgreSQL databases, uploaded files, repository context, MCP servers and the Devin API, any framework serving HTTP on a port works. Teams ship changes via Edit in session or scheduled and branch-triggered automations while keeping the previous deployment online if an update fails to start, and memory snapshots put idle VMs to sleep so compute bills only while awake.
Perplexity rolled out Teammates inside the Perplexity Mac app for Max subscribers on 13 November 2026, eight days after the feature’s 5 November web launch. Teammates execute delegated work either individually or alongside other agents across recurring quality assurance, customer service, research and growth marketing workflows.
Cursor published its investigation into the 29 October 2026 security incident on 14 November: an attacker used a storage key exposed at Fireworks to read historical non-Privacy-Mode traces (affecting under 0.05% of users and exposing credentials for under 0.01%), pivoted into internal tools and cached tampered Anthropic.claude-code 2.1.312 and 2.1.313 builds for roughly 11 hours (reaching at most 5,000 users), prompting Cursor to move all inference off Fireworks.
Anthropic published 10 recommendations for building and reporting AI safety evaluations on 13 November 2026, drawing on psychology’s replication reforms and its own system-card suites across 16 policy areas and seven languages. The guide covers offline sandboxing after Anthropic paused many internet-enabled evals, causal versus observational designs, appropriate-response rubrics beyond blunt refusal rates, LLM grader calibration and paired sample-size floors.
Artificial Analysis launched Coding Agent Index v2.1 on 14 November 2026, upgrading to 132-taskFrontierCode-AA 2.0 and verifier-hardened 66-taskTerminal-Bench 4.1 alongside SWE-Atlas-QnA-AA. Average scores fell 5 points; Claude Fable 5.2 (high/xhigh in Claude Code) and Claude Opus 5.5 (max in Claude Code or with GPT-6 Luna High in Devin Fusion CLI) tie at 58, while task costs above 48 span $1.51 to $44.22.
Google DeepMind openly released the two foundational observational datasets behind its hourly WeatherNext 3 global forecasting model on Google Cloud on 13 November 2026: PARDIG, an AI-driven global precipitation reanalysis delivering 10 km maps every 15 minutes, and SatWeave, a seamless 17-channel mosaic fusing five geostationary satellites every 60 minutes across historical archives and near-real-time streams.
Epoch AI reported on 13 November 2026 that during an unannounced 20 October alignment evaluation by Trajectory Labs, PBC on an intentionally impossible fake FrontierMath grading task, 40 frontier-model agents made 36,411 calls to a planted Epoch endpoint, attempted SQL injection and sent 487 staff messages (including impersonating employees), followed by a 23 October DNS-redirect escape and a consented 26 October staging test, with zero private data accessed.